1 データ概要

1.1 生データ

experiment_type TimeStamp Voltage Current Ah Wh Power Battery_Temp_degC Time Chamber_Temp_degC SOC Drive_Cycle prev_SOC diff_SOC prev_Time diff_Time prev_V diff_V dV cumsum_V prev_A diff_A dA cumsum_A prev_Power diff_Power dPower avg_Power cumsum_Power flg_A_gt_n25 eff_Power diff_Temp_degC eff_Temp_degC flg_curr_gt_0 zero_one_curr_gt_0
n_10_Cycle_1 2017-06-10 11:25:41 4.10596 -1.80146 -0.00005 -7.396723 -10.15814 0.0000000 -10 99.99828 Cycle_1 4.10596 -1.80146 -7.396723 TRUE -0.158136 FALSE 1
n_10_Cycle_1 2017-06-10 11:25:41 4.01524 -1.84964 -0.00010 -7.426749 -10.15814 0.1020011 -10 99.99655 Cycle_1 99.99828 -0.0017241 0.0000000 0.1020011 4.10596 -0.09072 -0.8894026 8.12120 -1.80146 -0.04818 -0.4723481 -3.65110 -7.396723 -0.0300258 -0.2943677 -7.411736 -14.823471 TRUE 0.7560049 -0.158136 -0.0161300 FALSE 1
n_10_Cycle_1 2017-06-10 11:25:41 3.95799 -1.88639 -0.00015 -7.466313 -10.15814 0.1970015 -10 99.99483 Cycle_1 99.99655 -0.0017241 0.1020011 0.0950005 4.01524 -0.05725 -0.6026285 12.07919 -1.84964 -0.03675 -0.3868401 -5.53749 -7.426749 -0.0395642 -0.4164636 -7.446531 -22.289784 TRUE 0.7074241 -0.158136 -0.0150230 FALSE 1
n_10_Cycle_1 2017-06-10 11:25:41 3.90973 -1.91824 -0.00021 -7.499801 -10.15814 0.3000084 -10 99.99276 Cycle_1 99.99483 -0.0020690 0.1970015 0.1030069 3.95799 -0.04826 -0.4685124 15.98892 -1.88639 -0.03185 -0.3092026 -7.45573 -7.466313 -0.0334877 -0.3251018 -7.483057 -29.789584 TRUE 0.7708063 -0.158136 -0.0162891 FALSE 1
n_10_Cycle_1 2017-06-10 11:25:41 3.86920 -1.94519 -0.00026 -7.526329 -10.15814 0.3980063 -10 99.99103 Cycle_1 99.99276 -0.0017241 0.3000084 0.0979979 3.90973 -0.04053 -0.4135805 19.85812 -1.91824 -0.02695 -0.2750060 -9.40092 -7.499801 -0.0265287 -0.2707067 -7.513065 -37.315914 TRUE 0.7362643 -0.158136 -0.0154970 FALSE 1

1.2 サマリー

1.2.1 character

skim_variable n_missing complete_rate min max empty n_unique whitespace
experiment_type 0 1 6 12 0 15 0
Drive_Cycle 0 1 2 7 0 3 0

1.2.2 logical

skim_variable n_missing complete_rate mean count
flg_A_gt_n25 0 1 0.5690324 TRU: 526211, FAL: 398536
flg_curr_gt_0 0 1 0.1209304 FAL: 812917, TRU: 111830

1.2.3 numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
Voltage 0 1.0000000 3.589 0.308 2.456 3.430 3.613 3.809 4.273 ▁▁▆▇▂
Current 0 1.0000000 -1.294 2.460 -20.822 -2.194 -0.602 -0.068 10.706 ▁▁▃▇▁
Ah 0 1.0000000 -1.128 0.681 -2.696 -1.676 -1.072 -0.558 -0.000 ▂▆▇▇▇
Wh 85312 0.9077456 -4.003 2.354 -9.415 -5.905 -3.812 -2.066 -0.000 ▂▆▇▇▇
Power 0 1.0000000 -4.274 8.227 -53.564 -7.719 -2.156 -0.275 36.809 ▁▁▇▁▁
Battery_Temp_degC 0 1.0000000 10.067 13.606 -20.343 -0.083 11.845 25.844 32.972 ▂▅▆▆▇
Time 0 1.0000000 3,776.864 2,768.558 0.000 1,544.234 3,167.316 5,509.190 11,433.336 ▇▆▃▂▁
Chamber_Temp_degC 0 1.0000000 5.777 15.328 -20.000 -10.000 10.000 25.000 25.000 ▃▅▆▇▇
SOC 0 1.0000000 61.103 23.468 7.049 42.215 63.029 80.741 100.000 ▂▆▇▇▇
prev_SOC 15 0.9999838 61.104 23.468 7.049 42.217 63.029 80.742 100.000 ▂▆▇▇▇
diff_SOC 15 0.9999838 -0.001 0.002 -0.039 -0.002 -0.001 0.000 0.014 ▁▁▁▇▁
prev_Time 15 0.9999838 3,776.825 2,768.539 0.000 1,544.205 3,167.291 5,509.143 11,433.219 ▇▆▃▂▁
diff_Time 15 0.9999838 0.100 0.023 0.000 0.097 0.100 0.103 2.381 ▇▁▁▁▁
prev_V 15 0.9999838 3.589 0.308 2.456 3.430 3.613 3.809 4.273 ▁▁▆▇▂
diff_V 15 0.9999838 -0.000 0.014 -0.468 -0.001 0.000 0.001 0.719 ▁▇▁▁▁
dV 15 0.9999838 -0.000 0.136 -4.543 -0.006 0.000 0.006 7.123 ▁▇▁▁▁
cumsum_V 0 1.0000000 141,498.064 103,333.744 4.079 58,264.180 118,140.739 207,008.858 422,134.172 ▇▆▃▂▁
prev_A 15 0.9999838 -1.294 2.460 -20.822 -2.194 -0.602 -0.068 10.706 ▁▁▃▇▁
diff_A 15 0.9999838 0.000 0.434 -12.666 -0.001 0.000 0.001 20.458 ▁▇▁▁▁
dA 15 0.9999838 0.000 4.339 -129.248 -0.009 0.000 0.008 205.826 ▁▇▁▁▁
cumsum_A 0 1.0000000 -40,616.100 24,499.455 -97,076.714 -60,344.529 -38,605.847 -20,137.178 -0.011 ▂▆▇▇▇
prev_Power 15 0.9999838 -4.274 8.227 -53.564 -7.719 -2.157 -0.275 36.809 ▁▁▇▁▁
diff_Power 15 0.9999838 0.000 1.474 -43.612 -0.003 0.000 0.003 53.567 ▁▁▇▁▁
dPower 15 0.9999838 0.000 14.747 -445.031 -0.031 0.000 0.029 581.616 ▁▁▇▁▁
avg_Power 15 0.9999838 -4.274 8.194 -53.558 -7.734 -2.200 -0.276 36.694 ▁▁▇▁▁
cumsum_Power 0 1.0000000 -141,768.351 83,637.840 -339,118.714 -209,326.517 -135,110.770 -72,590.710 -0.044 ▂▆▇▇▇
eff_Power 15 0.9999838 0.427 0.820 -3.835 0.026 0.222 0.773 5.878 ▁▆▇▁▁
diff_Temp_degC 0 1.0000000 4.290 3.152 -3.230 2.238 3.354 5.634 19.894 ▁▇▂▁▁
eff_Temp_degC 15 0.9999838 0.430 0.335 -2.550 0.219 0.339 0.563 30.009 ▇▁▁▁▁
zero_one_curr_gt_0 0 1.0000000 0.953 0.211 0.000 1.000 1.000 1.000 1.000 ▁▁▁▁▇

1.2.4 POSIXct

skim_variable n_missing complete_rate min max median n_unique
TimeStamp 10 0.9999892 2017-03-18 02:17:35 2017-06-26 18:01:22 2017-04-09 21:51:18 92597

2 SOC

2.1 時系列の推移

3 線形モデルの構築

3.1 モデル

term estimate std.error statistic p.value
(Intercept) -0.000000 0.000001 -0.3 0.764
eff_Power -0.003174 0.000006 -495.4 0.000
Current 0.000955 0.000002 481.6 0.000
eff_Power:eff_Temp_degC 0.000006 0.000002 2.5 0.013
Current:Voltage -0.000316 0.000001 -371.1 0.000

3.2 スコア

score
0.03233

3.3 予測と正解の分布

明らかに 2 群に分かれている。

点を分離する事を考えてみる

flg Voltage diff_V dV Current flg_curr_gt_0 diff_A dA Ah Wh Power Battery_Temp_degC diff_Temp_degC eff_Power eff_Temp_degC
FALSE 3.361 0.002 0.018 -4.41 12% 0.25 2.56 -1.38 -4.83 -14.09 14.49 5.21 1.49 0.54
TRUE 3.358 -0.003 -0.028 -4.65 3% 0.01 0.08 -1.16 -4.08 -15.16 10.70 5.41 1.52 0.54

消耗の激しい箇所に青色が集中しているように見て取れる

4 Cycle_1

4.1 n_20_Cycle_1

4.2 n_10_Cycle_1

4.3 z_0_Cycle_1

4.4 p_10_Cycle_1

4.5 p_25_Cycle_1

5 NN

5.1 n_20_NN

5.2 n_10_NN

5.3 z_0_NN

5.4 p_10_NN

5.5 p_25_NN

6 US06

6.1 n_20_US06

6.2 n_10_US06

6.3 z_0_US06

6.4 p_10_US06

6.5 p_25_US06